code: def _generate_final_aspect_candidates_list(
      aspect_candidate_list_raw,
      final_aspect_candidates_list,
      frequency_threshold,
  ):
      """
      generate final aspect candidates list from map
      Args:
          aspect_candidate_list_raw (dict): key = term, value =
          lists of candidate terms.
          final_aspect_candidates_list (list): list of final aspect candidates
          frequency_threshold (int): minimum freq. for qualifying term
      """
      term_polarity = Polarity.UNK
      for extracted_term_list in aspect_candidate_list_raw.values():
          if len(extracted_term_list) >= frequency_threshold:
              term = extracted_term_list[0]
              qualified_term = QualifiedTerm(
                  term.term,
                  term.lemma,
                  term.pos,
                  len(extracted_term_list),
                  term_polarity,
              )
              final_aspect_candidates_list.append(qualified_term)
  
      return final_aspect_candidates_list
  
imports: import copy
  import re
  import sys
  from os import PathLike
  from tqdm import tqdm
  from nlp_architect.models.absa import TRAIN_LEXICONS, LEXICONS_OUT
  from nlp_architect.models.absa import GENERIC_OP_LEX
  from nlp_architect.models.absa.inference.data_types import Polarity
  from nlp_architect.models.absa.train.data_types import AspectTerm, DepRelation, DepRelationTerm, LoadOpinionStopLists, LoadAspectStopLists, OpinionTerm, QualifiedTerm
  from nlp_architect.models.absa.train.rules import rule_1, rule_2, rule_3, rule_4, rule_5, rule_6
  from nlp_architect.models.absa.utils import _load_parsed_docs_from_dir, _write_final_opinion_lex, _load_lex_as_list_from_csv, read_generic_lex_from_file
label_desc: Use image node_id 6 for calling a global function with example usage: _generate_final_aspect_candidates_list(aspect_candidate_list_raw, final_aspect_candidates_list, frequency_threshold) and returns: final_aspect_candidates_list